Generative AI Solutions

We design and build the core generative AI software: prompt flows, agents, function calling, and APIs packaged for production. Data pipelines prepare training and evaluation sets; security and cost/latency targets are engineered from day one. You receive a working service, evaluation reports, and operable code that fits your stack.

We adapt foundation models to your domain using SFT, LoRA/QLoRA, prompt optimization, and preference tuning. The work includes dataset curation, red-teaming, and an evaluation harness to track win rate, accuracy, bias, and hallucination rate. You get model artifacts, prompts, and a regression suite for continuous improvement.

We connect models to the systems that matter — CRM/ERP, data warehouses, ticketing, messaging, and analytics. Deliverables include hardened APIs, secure connectors, SSO, role-based access, audit logs, and observability so IT can own the deployment. The result is AI that fits existing workflows rather than creating new ones to manage.

We build retrieval-augmented generation that cites your facts. Pipelines ingest and normalize content, chunk it, embed it, and sync updates on a schedule. Policies control what can be retrieved, and answers ship with citations, confidence scores, and guardrails to reduce hallucinations. You get a knowledge service that keeps responses aligned with your sources.

We set up the production backbone: CI/CD for models and prompts, data/version management, canary releases, monitoring, feedback loops, and incident runbooks. Dashboards track latency, cost per request, usage, drift, and quality metrics. Your team gains the controls to run generative AI at scale with predictable performance.

We provide generative AI as a fully managed service: hosting, monitoring, updates, policy enforcement, and cost controls. You get one accountable partner for reliability, security, and roadmap execution, while your team stays focused on outcomes.